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Clockor2: Inferring Global and Local Strict Molecular Clocks Using Root-to-Tip Regression.
Featherstone, Leo A; Rambaut, Andrew; Duchene, Sebastian; Wirth, Wytamma.
Afiliação
  • Featherstone LA; Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC 3010, Australia.
  • Rambaut A; Institute of Ecology and Evolution, University of Edinburgh, Edinburgh, UK.
  • Duchene S; Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC 3010, Australia.
  • Wirth W; Department of Computational Biology, Institut Pasteur, Paris, France.
Syst Biol ; 73(3): 623-628, 2024 Sep 05.
Article em En | MEDLINE | ID: mdl-38366939
ABSTRACT
Molecular sequence data from rapidly evolving organisms are often sampled at different points in time. Sampling times can then be used for molecular clock calibration. The root-to-tip (RTT) regression is an essential tool to assess the degree to which the data behave in a clock-like fashion. Here, we introduce Clockor2, a client-side web application for conducting RTT regression. Clockor2 allows users to quickly fit local and global molecular clocks, thus handling the increasing complexity of genomic datasets that sample beyond the assumption of homogeneous host populations. Clockor2 is efficient, handling trees of up to the order of 104 tips, with significant speed increases compared with other RTT regression applications. Although clockor2 is written as a web application, all data processing happens on the client-side, meaning that data never leave the user's computer. Clockor2 is freely available at https//clockor2.github.io/.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Classificação Idioma: En Revista: Syst Biol Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Classificação Idioma: En Revista: Syst Biol Ano de publicação: 2024 Tipo de documento: Article